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To speed up the build process, increase the default values for BAZEL_JOBS to HOST_CPUS*.4
and for BAZEL_MEM to HOST_RAM*0.4 .
Bug-AGL: SPEC-4856
Change-Id: I3a167df914373979ea39b7ccbd508de15861c115
Signed-off-by: Jan-Simon Moeller <jsmoeller@linuxfoundation.org>
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Recipe files to compile the voice agent service and the flutter
app, also add meta-tensorflow layer conf.
Bug-AGL: SPEC-4906
Change-Id: I0e2eea863c95cd84d85d06194fbf01fcc64adb86
Signed-off-by: Malik Talha <talhamalik727x@gmail.com>
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This adds the libraries for the RASA machine learning framework.
Bug-AGL: SPEC-4856
Change-Id: I477b09cae8ff51e284b51238cb5940464ea57a51
Signed-off-by: Malik Talha <talhamalik727x@gmail.com>
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This brings the voice agent to the state shown at AMM and EW.
Change-Id: I31ac4adc874a206e6e598ba116523ecc7eb99fc9
Signed-off-by: amanarora_09 <aman.arora9848@gmail.com>
Signed-off-by: Jan-Simon Moeller <jsmoeller@linuxfoundation.org>
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- This enables offline voice recognition in AGL
- Can successfully run vosk API and vosk websocket server
Changes:
- Create a new layer: meta-offline-voice-recognition
- Create recipes for the the Vosk library, API, websocket server and model
- Create feature template for the layer (agl-offline-voice-agent)
- Add all required packages to IMAGE_INSTALL
- ptest enable recipe python3-vosk-api
- Few fixes
Bug-AGL: SPEC-4497
Change-Id: Icb290ceee22e2c3a51cbd67f7431701795f1201b
Signed-off-by: amanarora_09 <aman.arora9848@gmail.com>
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